Azure IoT Edge

Azure IoT Edge moves analytics and logic out of the cloud and onto your on-premises devices. Using a cloud interface, you can deploy either Azure service logic or your own code to devices without having to physically access them. And offline capabilities mean that you can extract business insights anywhere, without worrying about maintaining constant communication with a cloud service.

More details about the services are available in the documentation.

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  1. Is IoT Edge ML module supported by RHEL 7.5 ?

    Is IoT Edge ML module supported by RHEL 7.5 ? I follow https://docs.microsoft.com/en-us/azure/iot-edge/tutorial-deploy-machine-learning for configuring IoT Edge on RHEL 7.5. edgeAgent failed to start.

    2 votes
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    0 comments  ·  Deploying modules  ·  Flag idea as inappropriate…  ·  Admin →
  2. Any plans to support Yocto on ARM32?

    This post: https://docs.microsoft.com/en-us/azure/iot-edge/support indicates that Yocto on ARM32 is not supported. Will it be? And, if so, will the ARM Python SDK for IoT Edge (suggested here: https://feedback.azure.com/forums/907045-azure-iot-edge/suggestions/34976278-arm-python-sdk-for-azure-iot-edge) work on Yocto?

    5 votes
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    1 comment  ·  Installing IoT Edge runtime  ·  Flag idea as inappropriate…  ·  Admin →

    We have published preview layers for IoT Edge on Yocto – https://github.com/azure/meta-iotedge. There is still work to be done before this becomes a Tier 1 OS; however you can start playing with it and providing feedback now.

    As far as Python support, you should probably be able to build a Yocto image that supports Python. You’ll have to include the layers required by the Python SDK. This SDK is going through a rewrite at the moment; however you can see a preview at – https://github.com/Azure/azure-iot-sdk-python-preview

  3. Support for aarch64 based platforms

    It would be great if support could be extended for deploying the run time on aarch64 based platforms, a lot of industrial platforms being launched on the market are based on Cortex-A53.

    4 votes
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    3 comments  ·  Installing IoT Edge runtime  ·  Flag idea as inappropriate…  ·  Admin →
  4. ARM Python SDK for Azure IoT Edge

    Make the Python SDK for creating IoT Edge Modules also available for ARM cpu's and Windows.

    The vast selection of python libraries, and ARM devices with python support, makes it an ideal choice for rapid development of Edge Modules.

    6 votes
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    3 comments  ·  Developing custom modules  ·  Flag idea as inappropriate…  ·  Admin →

    The Python SDK is going through a rewrite at the moment. Once that is complete it will be supported on both Linux and Windows. You can find a preview of the rewrite at – github.com/Azure/azure-iot-sdk-python-preview

  5. Support X.509 certificates in IoT Edge for Raspbian (Linux) and the Device Provisioning Service (DPS)

    We are using a Raspberry Pi Zero W for a large-scale IoT sensor rollout. Our plan is to use IoT Edge on Raspbian (Linux) to run our Python software on the devices and leverage the IoT hub to deploy our code via modules to our devices. We also want to use the IoT hub Device Provisioning Service to further automate the rollout of newly added devices. The goal is to make this scalable to 1.000 devices as a Proof of Concept, and in a production phase scale up to 50.000-100.000 devices.

    We've tried to follow the tutorial by Microsoft to…

    55 votes
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    started  ·  5 comments  ·  Installing IoT Edge runtime  ·  Flag idea as inappropriate…  ·  Admin →
  6. Make IoT-Edge (V2+) usable (again) in products which require both OnPrem and OnDemand deploy

    In many industries (e.g. medical, energy, aeronautics) companies must produce products that can also be installed in environments where no internet connectivity is available/permitted. These same products however, are also often installed in places where they can leverage cloud (OnDemand) capabilities. If IoT-Edge ist to be applicable for such products, it must (by design) provide for:
    1. Installation from download or USB-stick including configuration via config file or local API (as did Edge V1)
    2. Provide and abstraction layer to the external communication (as was done via Edge V1 Modules) enabling a configurable routing to use OnPremises endpoits (REST) or…

    50 votes
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    1 comment  ·  Installing IoT Edge runtime  ·  Flag idea as inappropriate…  ·  Admin →
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